Performance test and simulation of a reciprocating engine for long endurance miniature unmanned aerial vehicles

2005 ◽  
Vol 219 (4) ◽  
pp. 573-581 ◽  
Author(s):  
Younggy Shin ◽  
Sung-Ho Chang ◽  
Sam-Ok Koo
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Fuel Economy ◽  
Performance Test ◽  
Spark Ignition Engine ◽  
Simulation Program ◽  
Successful Implementation ◽  
Reciprocating Engine ◽  
High Speeds ◽  
Aerial Vehicles ◽  
Long Endurance

Development of an engine with good fuel economy is very important for successful implementation of long endurance miniature UAVs (unmanned aerial vehicles). In the study, a four-stroke glow-plug engine was modified to a gasoline-fuelled spark ignition engine. Engine tests measuring performance and friction losses were conducted to tune a simulation program for performance prediction. It has been found that excessive friction losses are caused by insufficient lubrication at high speeds. The simulation program predicts that engine power and fuel economy become worse with high altitude, due to an increasing portion of friction losses. The simulation results suggest quantitative guidelines for further development of a practical engine.

Real-time surveillance detection system for medium-altitude long-endurance unmanned aerial vehicles

2017 ◽  
Vol 30 (7) ◽  
pp. e4145 ◽  
Author(s):  
Angelos Amanatiadis ◽  
Loukas Bampis ◽  
Evangelos G. Karakasis ◽  
Antonios Gasteratos ◽  
Georgios Sirakoulis
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Detection System ◽  
Aerial Vehicles ◽  
Long Endurance

Periodic Control of Unmanned Aerial Vehicles Based on Differential Flatness

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Oladapo Ogunbodede ◽  
Souransu Nandi ◽  
Tarunraj Singh
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Unmanned Aerial Vehicles ◽  
Differential Flatness ◽  
Marine Animals ◽  
Periodic Control ◽  
Aerial Vehicles ◽  
Locomotory Behavior ◽  
Long Endurance

Unmanned aerial vehicles (UAVs) are making increasingly long flights today with significantly longer mission times. This requires the UAVs to have long endurance as well as have long range capabilities. Motivated by locomotory patterns in birds and marine animals which demonstrate a powered-coasting-powered periodic locomotory behavior, an optimal control problem is formulated to study UAV trajectory planning. The concept of differential flatness is used to reformulate the optimal control problem as a nonlinear programing problem where the flat outputs are parameterized using Fourier series. The Π test is also used to verify the existence of a periodic solution which outperforms the steady-state motion. An example of an Aerosonde UAV is used to illustrate the improvement in endurance and range costs of the periodic control solutions relative to the equilibrium flight.

scholarly journals MODELLING OF THE UNMANNED AERIAL VEHICLES FLIGHT CONTROL SYSTEM

Aviation ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 79-85
Author(s):  
Mirosław Adamski
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerodynamic Drag ◽  
Unmanned Aircraft ◽  
Simulation Program ◽  
Flight Control System ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The article is an independent work containing the author’s ingenious research methodology and the model of the control system of Unmanned Aerial Vehicles. Furthermore a unique and world first mathematical model of an Unmanned Aerial Vehicle was developed, as well as a simulation program which enabled to investigate the control system of any Unmanned Aerial Vehicles in the tilt duct pitch (altitude), bank (direction), deviation and velocity, depending upon the variable values of the steering coefficient, reinforcement coefficient and the derivative constant. The research program was written in the language of the C++ as the MFC class, on the MS Visual Studio 2010 platform. The main issue resolved in the article is the pioneering research of the process of control during manual and semi-automatic guidance of the Unmanned Aerial Vehicle, with a jet propulsion system to the coordinates of preset points of the flight route. Modelling of the flight control system takes into account: the logical network of operations of the simulation program, the pilot-operator model, the set motion and control deviations as well as the flight control laws. In addition, modeling of the control system takes into account the drive model, engine dynamics, engine thrust, the model of steering actuators and the model of external loads. In contrast, the external load model takes into account the external forces acting on the unmanned aircraft, including gravitational forces and moments, aerodynamic forces and moments, aerodynamic drag, aerodynamic lateral forces, aerodynamic lift forces, aerodynamic heeling moment, mechanism of local angle of attack from damping torque and forces and moments from the engine.

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